Algorithms for iterative learning control of nonlinear plants employing time-variant system descriptions

IEEE Conference on Control Applications - Proceedings

Volumn 1, Issue , 2000, Pages 570-575

  Hengen, Heiko ^a   Hillenbrand, Stefan ^a   Pandit, Madhukar ^a  

^a University of Koblenz Landau   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE LEARNING CONTROL; LEARNING OPERATORS; NONLINEAR CYCLIC PROCESS CONTROL; TIME VARIANT SYSTEM DESCRIPTIONS;

INDUSTRIAL PLANTS; ITERATIVE METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PROCESS CONTROL; STATE SPACE METHODS; SYSTEMS ANALYSIS; TIME VARYING CONTROL SYSTEMS;

ALGORITHMS;

EID: 0034481113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. S. Hillenbrand and M. Pandit. A discrete iterative learning control law with exponential rate of convergence. In IEEE Conference on Decision and Control, number 38. IEEE, 1999.
3. S. Hillenbrand and M. Pandit. An iterative learning controller with reduced sampling rate for plants with variations of inital states. In IEEE Conference on Decision and Control, number 38. IEEE, 1999.
4. K. Lachmann. Parameteradaptive Regelalgorithmen für bestimmte Klassen nichtlinearer Prozesse mit eindeutigen Nichtlinearitäten. PhD thesis, TH Darmstadt, 1983.
5. H. Schwarz. Nichtlineare Regelungssysteme. Oldenbourg Verlag, München, Wien, first edition, 1991.
6. M. Wellers and N. Kositza. Identifikation nichtlinearer système mit wiener- und hammersteinmodellansätzen auf basis der volterra-reihe. at, 1999.